低信噪比红外小目标图像的分割方法  

Low SNR Infrared Weak Target Image Segmentation Algorithm

作　　者：周铭[1] 

机构地区：[1]华北光电技术研究所,北京100015

出　　处：《激光与红外》2004年第3期225-228,共4页Laser & Infrared

摘　　要：针对复杂背景条件下的红外图像分割问题,将遗传算法与人类视觉感知原理相结合,探讨了一种新的多阈值图像分割方法即基于遗传算法的图像阈值分割方法,该算法引入了一个自动判别且时空可变的目标背景条件和调整最佳分割区域的步骤,提高了分割算法的质量及鲁棒性,克服了传统阈值方法在图像分割中的局限性。通过计算机仿真实验,验证了该方法的有效性。Combining genetic algorithm with human visual apperception theory, a new multi-threshold image segmentation in complex background, i.e. an method of image threshold segmentation based on genetic algorithms, is discussed, which can distinguish changeable target backgrounds automatically and regulate the best segmenting region. Much more accurate results of segmentation and robustness are obtained which helps overcome drawbacks of traditional threshold methods. Computer emulation experiment shows that the performance of the algorithm provided above are satisfactory.

关 键 词：红外图像 遗传算法 图像分割 

分 类 号：TN911.73[电子电信—通信与信息系统]